Author

Marion Chevrier

Agency for Science, Technology and Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Duoduo WuiD· 1 shared Grace Tan Su-En· 1 shared Jinmiao CheniD· 1 shared Joe Yeong Poh Sheng· 1 shared Josh Loh Jie Hua· 1 shared Tony Lim Kiat Hon· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Duoduo WuORCID

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1 paper

Recent·Most cited

Comparison Between UMAP and t-SNE for Multiplex-Immunofluorescence Derived Single-Cell Data from Tissue Sections

Duoduo Wu, Joe Yeong Poh Sheng, Grace Tan Su-En, Marion Chevrier, Josh Loh Jie Hua, Tony Lim Kiat Hon, Jinmiao Chen

The paper compares UMAP and t-SNE for analyzing multiplex-immunofluorescence single-cell data from HCC tissues, finding UMAP faster and better at highlighting biological lineages like hybrid tumor cells.

bioRxiv · Feb 15, 2019 · PreprintBioinformatics